Triple
T35694169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boumerdes |
E1031386
|
entity |
| Predicate | distanceFromAlgiers_km |
—
|
GENERATED |
| Object | about 50 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAlgiers_km Context triple: [Boumerdes, distanceFromAlgiers_km, about 50]
-
A.
distanceToAlgiers
chosen
Indicates the measured spatial distance between a given entity and the location of Algiers.
-
B.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
C.
distanceFromOuagadougou_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Ouagadougou.
-
D.
distanceFromDakar
Indicates the spatial distance between a given entity’s location and the city of Dakar.
-
E.
distanceToMisrata_km
Indicates the physical distance, measured in kilometers, between a given location and Misrata.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.